metadata

dataset_info:
  features:
    - name: audio
      dtype:
        audio:
          sampling_rate: 16000
    - name: sentence
      dtype: string
  splits:
    - name: train
      num_bytes: 131539467.61728086
      num_examples: 5346
    - name: test
      num_bytes: 32351673.510719135
      num_examples: 1337
  download_size: 163256695
  dataset_size: 163891141.128
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: test
        path: data/test-*

Urban Bus Wolof Speech Dataset

This dataset contains audio recordings and their transcriptions in Wolof, related to urban bus transportation. The goal is to facilitate the development of Automatic Speech Recognition (ASR) models to help illiterate people use existing apps to find which bus they can take to reach their destination without needing to know how to read or write.

Dataset Description

Language: Wolof (wo)
Domain: Urban transportation
Data Type: Audio recordings and transcriptions
Audio File Format: MP3
Sampling Rate: 16 kHz
Total Examples: 6,683
- Training Set: 5,346 examples (80%)
- Test Set: 1,337 examples (20%)

Dataset Structure

Features

audio: An audio file containing the speech in Wolof.
- Format: MP3
- Sampling Rate: 16 kHz
sentence: The textual transcription of the audio in Wolof.

Splits

The dataset is divided into two splits:

Split	Number of Examples
Train	5,346
Test	1,337

Example Usage

Here's how to load and use this dataset with the 🤗 Datasets library:

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("vonewman/urban-bus-wolof")

# Access an example from the 'train' split
print(dataset['train'][0])

# Expected output:
# {
#   'audio': {
#     'path': '.../train/audio/<audio_file>.mp3',
#     'array': array([...]),
#     'sampling_rate': 16000
#   },
#   'sentence': 'Transcription of the audio in Wolof'
# }